task_id large_string | slug large_string | definition large_string | categories list | domains list | source list | reasoning list | input_language list | output_language list | instruction_language list | contributors list | positive_examples large_string | negative_examples large_string | lora_path large_string | dataset_path large_string | description_short large_string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
101 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a va... | [
"Program Execution"
] | [
"Code"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "1, 3, ['238', 'h', '92', 'U', '2799']", "output": "92h238", "explanation": "Here, concatenating all the elements between the 1st element and 3rd element in reverse order gives '92h238'."}, {"input": "8, 9, ['U', '6923', 'y', 'm', 'v', 'M', 'Y', '87667', 'E', '6059', 'p']", "output": "E87667", "explanation":... | [{"input": "1, 2, ['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']", "output": "B5747", "explanation": "Here, the answer should have been 'B7475' as concatenating all the elements between the 1st element and 2nd element in reverse order gives 'B7475'."}, {"input": "4, 7, ['B', '59', 'a', '34', '5', 'h', 'k', 'A']... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task101 | https://huggingface.co/datasets/Lots-of-LoRAs/task101_reverse_and_concatenate_all_elements_from_index_i_to_j | reverse and concatenate all elements from index i to j |
1167 | task1167_penn_treebank_coarse_pos_tagging | Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | [
"Pos Tagging"
] | [
"News",
"Story"
] | [
"penn_treebank"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Siddhartha Mishra"
] | [{"input": "Sentence: David A. DiLoreto , president of metal container division , was named *-1 to the additional post of group vice president , packaging products , at this packaging {{ , }} industrial and aerospace products concern , *-1 succeeding Delmont A. Davis , who *T*-3 was named *-2 president and chief operat... | [{"input": "Sentence: American Express Co. and General Motors Corp. 's beleaguered Buick division are joining forces in a promotion aimed * at * boosting Buick 's sales while * encouraging {{ broader }} use of the American Express card . \nWord: broader", "output": "VERB", "explanation": "\"broader\" is not a Verb (VER... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1167 | https://huggingface.co/datasets/Lots-of-LoRAs/task1167_penn_treebank_coarse_pos_tagging | penn treebank coarse pos tagging |
128 | task128_scan_structured_text_generation_command_action_short | Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | [
"Text to Code"
] | [
"Computer Science -> Machine Learning"
] | [
"scan"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "jump left", "output": "I_TURN_LEFT I_JUMP", "explanation": "The agent must first turn left and then jump in order to jump to the left."}, {"input": "jump around right", "output": "I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP", "explanation": "The agent must turn right and ... | [{"input": "jump right", "output": "I_JUMP I_TURN_RIGHT", "explanation": "The agent cannot jump and then turn to the right in order to jump to the right. To jump and then turn to the right, the command will tell the agent to 'jump and turn right'. The correct output is 'I_TURN_RIGHT I_JUMP'."}, {"input": "jump around l... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task128 | https://huggingface.co/datasets/Lots-of-LoRAs/task128_scan_structured_text_generation_command_action_short | scan structured text generation command action short |
636 | task636_extract_and_sort_unique_alphabets_in_a_list | In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "['8129', 'a', '4245', 'y', 'm', 'a']", "output": "a, m, y", "explanation": "Here, the unique alphabets in the list are 'a', 'y', and 'm', hence their sorted order is 'a, m, y'."}, {"input": "['12', '523', '982']", "output": "-1", "explanation": "Here, there are no alphabets in the list, hence the answer is ... | [{"input": "['g', 'w', 'x', '3467', 'g']", "output": "g, g, x, w", "explanation": "Here, the answer should have been 'g, w, x' as the unique alphabets in the list are 'g', 'x', and 'w', hence their sorted order is 'g, w, x'."}, {"input": "['75', '54', 'j', 'l', '2332', 'z', 'e', '366']", "output": "j, l, z, e", "explan... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task636 | https://huggingface.co/datasets/Lots-of-LoRAs/task636_extract_and_sort_unique_alphabets_in_a_list | extract and sort unique alphabets in a list |
664 | task664_mmmlu_answer_generation_abstract_algebra | You are given a question on abstract algebra. Abstract algebra is a branch of mathematics in which algebraic concepts are generalized by using symbols to represent basic arithmetical operations. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answe... | [
"Question Answering"
] | [
"Mathematics"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Algebra"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Find the degree for the given field extension Q(sqrt(2), sqrt(3), sqrt(18)) over Q.\n(A)0 (B)4 (C)2 (D)6", "output": "B", "explanation": "The degree for the given field extension is 4"}, {"input": "Let p = (1, 2, 5, 4)(2, 3) in S_5 . Find the index of <p> in S_5.\n(A)8 (B)2 (C)24 (D)120", "output": "C", "ex... | [{"input": "Find the degree for the given field extension Q(sqrt(2), sqrt(3), sqrt(18)) over Q.\n(A)0 (B)4 (C)2 (D)6", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "Let p = (1, 2, 5, 4)(2, 3) in S_5 . Find the index o... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task664 | https://huggingface.co/datasets/Lots-of-LoRAs/task664_mmmlu_answer_generation_abstract_algebra | mmmlu answer generation abstract algebra |
123 | task123_conala_sort_dictionary | In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [
"Program Execution"
] | [
"Code -> Repo -> Stack Overflow"
] | [
"conala"
] | [
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[{'first': 8, 'second': 7}, {'first': -7, 'second': -2}, {'first': 8, 'second': 2}]", "output": "[{'first': -7, 'second': -2}, {'first': 8, 'second': 2}, {'first': 8, 'second': 7}]", "explanation": "The two dictionaries that had the same 'first' value were sorted by their 'second' value and the smaller one ... | [{"input": "[{'first': 10, 'second': 8}, {'first': 4, 'second': 7}, {'first': -1, 'second': -3}", "output": "[{'first': 10, 'second': 8}, {'first': 4, 'second': 7}, {'first': -1, 'second': -3}", "explanation": "The input was not changed and it was not in sorted order. So this is a bad example."}, {"input": "[{'first': ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task123 | https://huggingface.co/datasets/Lots-of-LoRAs/task123_conala_sort_dictionary | conala sort dictionary |
725 | task725_mmmlu_answer_generation_nutrition | You are given a question on nutrition. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Nutrition"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Which foods tend to be consumed in lower quantities in Wales and Scotland (as of 2020)?\n\n(A)Meat (B)Confectionary (C)Fruits and vegetables (D)Potatoes", "output": "C", "explanation": "Fruits and vegetables are consumed in lower quantities in Wales and Scotland"}, {"input": "In which one of the following c... | [{"input": "Which foods tend to be consumed in lower quantities in Wales and Scotland (as of 2020)?\n\n(A)Meat (B)Confectionary (C)Fruits and vegetables (D)Potatoes", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "In w... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task725 | https://huggingface.co/datasets/Lots-of-LoRAs/task725_mmmlu_answer_generation_nutrition | mmmlu answer generation nutrition |
717 | task717_mmmlu_answer_generation_logical_fallacies | You are given a question on logical fallacies. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Formal Fallacy"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Logical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "A valid disjunctive syllogism has a major premise that:\n(A)includes two or more alternatives (B)classifies subjects (C)affirms the antecedent or denies the consequent (D)leads to a valid conclusion", "output": "A", "explanation": "A valid disjunctive syllogism has a major premise that includes two or more ... | [{"input": "A valid disjunctive syllogism has a major premise that:\n(A)includes two or more alternatives (B)classifies subjects (C)affirms the antecedent or denies the consequent (D)leads to a valid conclusion", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following cha... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task717 | https://huggingface.co/datasets/Lots-of-LoRAs/task717_mmmlu_answer_generation_logical_fallacies | mmmlu answer generation logical fallacies |
1316 | task1316_remove_duplicates_string | In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "abCCdDDgGGhi", "output": "abCdDgGhi", "explanation": "The input string has 3 duplicate characters and the resulting output string has no duplicate characters."}, {"input": "GghHijKWOOJK", "output": "GghHijKWOJK", "explanation": "The input string has 1 duplicate character and the resulting output string has ... | [{"input": "gbaRavseEahajSiSngh", "output": "gbaRavseEahajSiSngh", "explanation": "The resulting string contains duplicate characters."}, {"input": "IsqrRThJAAanVVGjhRox", "output": "IsqrRThJAanVGjhRox", "explanation": "The resulting string contains duplicate characters."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1316 | https://huggingface.co/datasets/Lots-of-LoRAs/task1316_remove_duplicates_string | remove duplicates string |
1728 | task1728_web_nlg_data_to_text | You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language. | [
"Data to Text"
] | [
"Wikipedia"
] | [
"web_nlg"
] | [
"Relational Reasoning",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "Amsterdam_Airport_Schiphol | runwayName | \"09/27 'Buitenveldertbaan'\"", "output": "Amsterdam Airport Schipol runway name is 09/27 Buitenvelderbaan.", "explanation": "The simplest form of input is a single triple. Here the text describes the relationship in natural language."}, {"input": "Bacon_sandwich | ... | [{"input": "Antwerp_International_Airport | cityServed | Antwerp", "output": "Antwerp International airport city served Antwerp.", "explanation": "This is not a good output. Your answer should be grammatically correct and fluent."}, {"input": "A.F.C._Blackpool | ground | Blackpool", "output": "A.F.C. Blackpool play at ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1728 | https://huggingface.co/datasets/Lots-of-LoRAs/task1728_web_nlg_data_to_text | web nlg data to text |
324 | task324_jigsaw_classification_disagree | In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due to toxic content (... | [
"Toxic Language Detection"
] | [
"Social Media"
] | [
"jigsaw"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Comment: Why do right wingers have so little respect for the rule of law when the law does not advance their personal interests? Is it a lack of empathy? Or a more general lack of basic human decency? I don't doubt that pBurns9 would be the first one to run to the courts if his rights were violated.", "o... | [{"input": "Comment: Kind of like the Climate Change believers.", "output": "Agree", "explanation": "The topic of climate change conspiracy is controversial. This comment expresses the user's disbelief of climate change, which is against the general consensus. Thus, this comment is likely to raise public disagreement."... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task324 | https://huggingface.co/datasets/Lots-of-LoRAs/task324_jigsaw_classification_disagree | jigsaw classification disagree |
277 | task277_stereoset_sentence_generation_stereotype | In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one word. | [
"Fill in The Blank"
] | [
"Stereotypes"
] | [
"stereoset"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Context: Every commander tends to be _.", "output": "controlling", "explanation": "Commanders are controlling is an existing and valid stereotype."}, {"input": "Context: Syria is a country filled with _.", "output": "war", "explanation": "Syria is unrest with war is an existing and valid stereotype."}] | [{"input": "Context: I get along well with all the _ Norweigan people.", "output": "black", "explanation": "It is not a valid stereotype because black people is not the majority or a representative population of Norway."}, {"input": "Context: The software developer is _.", "output": "tall", "explanation": "It is not a ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task277 | https://huggingface.co/datasets/Lots-of-LoRAs/task277_stereoset_sentence_generation_stereotype | stereoset sentence generation stereotype |
874 | task874_opus_xhosanavy_sr | In this task, you are given a sentence. You must find the primary subject in the supplied sentence. The output must be a sub-sequence in the sentence. | [
"Information Extraction"
] | [
"Miscellaneous"
] | [
"opus_xhosanavy"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Archan Lagoo"
] | [{"input": "Rope and its Usage", "output": "Rope", "explanation": "The word 'Rope' is the key subject here, while Usage is a property of Rope."}, {"input": "In this chapter are described the various types of rope with which a seaman works, and the manner in which he uses them.", "output": "the various types of rope", "... | [{"input": "The chapter has been divided into seven sections, headed as follows:", "output": "The chapter", "explanation": "While we talk about the chapter's division, the seven sections should be the focus here, given that we intend to describe them with \"headed as follows.\""}, {"input": "Construction and characteri... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task874 | https://huggingface.co/datasets/Lots-of-LoRAs/task874_opus_xhosanavy_sr | opus xhosanavy sr |
1389 | task1389_hellaswag_completion | In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D". | [
"Text Completion"
] | [
"Captions -> Video Captions"
] | [
"hellaswag"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "[header] How to create a christmas tree forest [title] Consider the type of tree you want to plant. [step] There are a wide variety of christmas trees and include fir, pine, spruce, cypress, and cedar. These trees thrive in different climates and look different from one another. <sep> (A) It is important to... | [{"input": "We see a lawnmower and a persons hand. A person starts the mower and it smokes. we <sep> (A) see the person start the mower again. (B) see the man mowing the lawn with a smoking mower. (C) see a piece of cloth on a tree in a yard. (D) see the person take the hose off the mower and run it through some weeds.... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1389 | https://huggingface.co/datasets/Lots-of-LoRAs/task1389_hellaswag_completion | hellaswag completion |
1447 | task1447_drug_extraction_ade | In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | [
"Named Entity Recognition"
] | [
"Biology -> Clinical Knowledge",
"Healthcare"
] | [
"ade_corpus_v2"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "Acute pain was observed after taking MTX", "output": "MTX", "explanation": "MTX is a medicine which has been mentioned here, and hence the name should be tagged."}, {"input": "METHODS: We report two cases of pseudoporphyria caused by naproxen", "output": "naproxen", "explanation": "Naproxen is the medicine ... | [{"input": "She was suffering from gastric cancer for a prolonged period of time.", "output": "gastric cancer", "explanation": "Gastric cancer is a disorder which has been reported to occur among the patients, and hence should not be categorized as drug."}, {"input": "We describe the side effects of 5-FU in a colon can... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1447 | https://huggingface.co/datasets/Lots-of-LoRAs/task1447_drug_extraction_ade | drug extraction ade |
1199 | task1199_atomic_classification_xattr | In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | [
"Commonsense Classification"
] | [
"Sociology",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: PersonX gives PersonY the number<sep>Tail: Adventurous", "output": "Yes", "explanation": "This is a good example. As a result of the Head, PersonX will be seen as Adventurous."}, {"input": "Head: PersonX asks PersonY to say<sep>Tail: to observe PersonX", "output": "No", "explanation": "In this example... | [{"input": "Head: PersonX affords PersonY protection<sep>Tail: spends money", "output": "Yes", "explanation": "If PersonX affords PersonY protection, PersonX won't be seen as someone who spends money. So the output should be \"No\"."}, {"input": "Head: PersonX improves PersonY's ___ as understood<sep>Tail: intelligent"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1199 | https://huggingface.co/datasets/Lots-of-LoRAs/task1199_atomic_classification_xattr | atomic classification xattr |
925 | task925_coached_conv_pref_classifier | You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input | [
"Speaker Identification"
] | [
"Dialogue"
] | [
"coached_conv_pref"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yash Bhokare"
] | [{"input": "ASSISTANT: generally speaking what type of movies do you watch , USER: I like thrillers a lot. , ASSISTANT: thrillers? for example? , USER: Zodiac's one of my favorite movies. , USER: Zodiac the movie about a serial killer from the '60s or '70s, around there. , ASSISTANT: Zodiac? oh wow ok, what do you like... | [{"input": "ASSISTANT: What kind of movies are you drawn to? , USER: I am drawn to romances. , ASSISTANT: Have you seen Fifty Shade of Grey? , USER: I have not. , USER: I know of it very well, but I have not seen it. , ASSISTANT: What was a movie that you last watched that surprised you?, classify_text: Maybe White Hou... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task925 | https://huggingface.co/datasets/Lots-of-LoRAs/task925_coached_conv_pref_classifier | coached conv pref classifier |
1214 | task1214_atomic_classification_xwant | In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | [
"Commonsense Classification"
] | [
"Sociology",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: PersonX arranges a date<sep>Tail: to find a nice restaurant.", "output": "Yes", "explanation": "This is a good example. As a result of the Head, PersonX wants to find a nice restaurant."}, {"input": "Head: PersonX affects children 's ___<sep>Tail: bad", "output": "No", "explanation": "In this example,... | [{"input": "Head: PersonX blesses PersonY's heart<sep>Tail: to call person y", "output": "Yes", "explanation": "The Tail is not what PersonX wants as a result of the Head. So the output should be \"No\"."}, {"input": "Head: PersonX asks PersonY's mother<sep>Tail: to write down the solution to the problem", "output": "N... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1214 | https://huggingface.co/datasets/Lots-of-LoRAs/task1214_atomic_classification_xwant | atomic classification xwant |
1154 | task1154_bard_analogical_reasoning_travel | Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the given place C, following the "A : B" relation. | [
"Word Analogy"
] | [
"Commonsense",
"Public Places"
] | [
"bard"
] | [
"Relational Reasoning",
"Commonsense Reasoning",
"Analogical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arjun Ashok"
] | [{"input": "moon : rocket. france : ?", "output": "airplane", "explanation": "Rockets are used to travel to the moon - hence the given analogy relates places/locations to the associated travel mode , and the answer also does the same"}, {"input": "mall : bus. theater : ?", "output": "car", "explanation": "A bus can be ... | [{"input": "park : bicycle. school : ?", "output": "students", "explanation": "The given analogy relates places/locations to the associated travel mode , BUT the answer does not model the same"}, {"input": "restaurant : taxi. downtown : ?", "output": "rocket", "explanation": "If a taxi can be used to travel to restaura... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1154 | https://huggingface.co/datasets/Lots-of-LoRAs/task1154_bard_analogical_reasoning_travel | bard analogical reasoning travel |
365 | task365_synthetic_remove_vowels | In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel. | [
"Program Execution"
] | [
"Code",
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "hNarAik", "output": "hNrk", "explanation": "The three vowels in the input 'a, 'A', and 'i' are removed."}, {"input": "iOytEYBad", "output": "ytYBd", "explanation": "The characters 'y' and 'Y' were not counted as vowels and they were not removed."}, {"input": "sMmFTBZ", "output": "sMmFTBZ", "explanation": "T... | [{"input": "BAaOAIIBfMj", "output": "BAaOAIIBfMj", "explanation": "The output is the same as the input even though there are vowels in the input. None of the vowels in the input string were removed."}, {"input": "UOatEzBid", "output": "UOaEi", "explanation": "The output is a string of the vowels that were in the input ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task365 | https://huggingface.co/datasets/Lots-of-LoRAs/task365_synthetic_remove_vowels | synthetic remove vowels |
736 | task736_mmmlu_answer_generation_virology | You are given a question on virology. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Biology -> Virology"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "How many human polyomaviruses are known at present?\n(A)100 (B)1 (C)10 (D)unknown", "output": "A", "explanation": "100 human polyomaviruses are known at present"}, {"input": "AIDS activism in the U.S. resulted in:\n(A)Food and Drug Administration reforms (B)Easier access to investigational drugs (C)Changes ... | [{"input": "How many human polyomaviruses are known at present?\n(A)100 (B)1 (C)10 (D)unknown", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "AIDS activism in the U.S. resulted in:\n(A)Food and Drug Administration ref... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task736 | https://huggingface.co/datasets/Lots-of-LoRAs/task736_mmmlu_answer_generation_virology | mmmlu answer generation virology |
129 | task129_scan_long_text_generation_action_command_short | Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | [
"Code to Text"
] | [
"Computer Science -> Machine Learning"
] | [
"scan"
] | [
"Logical Reasoning -> Reasoning with Symbols"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "I_TURN_LEFT I_JUMP", "output": "jump left", "explanation": "If the agent turned to the left and jumped, then the agent jumped to the left."}, {"input": "I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP", "output": "jump around right", "explanation": "If the agent turned right ... | [{"input": "I_JUMP I_TURN_RIGHT", "output": "jump right", "explanation": "The agent jumped forward and then turned to the right instead of jumping to the right. This output matches 'I_TURN_RIGHT I_JUMP'. The correct output should be 'jump and turn right'."}, {"input": "I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIG... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task129 | https://huggingface.co/datasets/Lots-of-LoRAs/task129_scan_long_text_generation_action_command_short | scan long text generation action command short |
859 | task859_prost_question_generation | Formulate questions about the information mentioned in a given passage. | [
"Question Generation"
] | [
"Commonsense -> Concepts and Relations"
] | [
"prost"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ashutosh Garg"
] | [{"input": "context: A person is trying to roll an apple, a ball, a block, and a bottle.", "output": "What is the person trying to do?", "explanation": "This question can be directly answered from the context."}, {"input": "context: A person is trying to stack coins, boxes, eggs, and blocks.", "output": "What is the pe... | [{"input": "context: A person is trying to stack flowers, eggs, bottles, and blocks.", "output": "How old is the person?", "explanation": "This question can't be directly answered from the context."}, {"input": "context: A brick, an egg, a leaf, and a coin moving at identical speeds each collide with a static hockey pu... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task859 | https://huggingface.co/datasets/Lots-of-LoRAs/task859_prost_question_generation | prost question generation |
074 | task074_squad1.1_question_generation | This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | [
"Question Generation"
] | [
"Wikipedia"
] | [
"squad_1.1"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Shailaja Keyur Sampat"
] | [{"input": "Passage: The French and Indian War (1754\u20131763) was the North American theater of the worldwide Seven Years' War. The war was fought between the colonies of British America and New France, with both sides supported by military units from their parent countries of Great Britain and France, as well as Nat... | [{"input": "Passage: The French and Indian War (1754\u20131763) was the North American theater of the worldwide Seven Years' War. The war was fought between the colonies of British America and New France, with both sides supported by military units from their parent countries of Great Britain and France, as well as Nat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task074 | https://huggingface.co/datasets/Lots-of-LoRAs/task074_squad1.1_question_generation | squad1.1 question generation |
245 | task245_check_presence_in_set_intersection | In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are commo... | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "Set1: '{1, 6, 10, 12, 13, 14, 15, 16}', Set2: '{1, 2, 4, 6, 11, 14, 15, 20}'. Is the element '11' in the intersection of Set1 and Set2 ?", "output": "No", "explanation": "The intersection of Set1 and Set2 is {1, 6, 14, 15}. 11 is not an element of this set. So, the answer is No."}, {"input": "Set1: '{1, 6, ... | [{"input": "Set1: '{8, 11, 2, 10}', Set2: '{1, 2, 4, 5, 6, 7, 10, 11, 13, 15}'. Is the element '2' in the intersection of Set1 and Set2 ?", "output": "No", "explanation": "The intersection of Set1 and Set2 is {2, 10, 11}. '2' is an element of this set. So, the answer should have been 'Yes' instead of 'No'."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task245 | https://huggingface.co/datasets/Lots-of-LoRAs/task245_check_presence_in_set_intersection | check presence in set intersection |
455 | task455_swag_context_generation | Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement. | [
"Text Completion"
] | [
"Captions -> Video Captions"
] | [
"swag"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kuntal Kumar Pal"
] | [{"input": "Then, the camel stops and the woman gets down from the camel.", "output": "A woman rides a camel holding a rode with her right hand while a man pulls the camel.", "explanation": "The output mentions that the woman was riding a camel. This is a correct context of the given statement since the woman has to be... | [{"input": "She yanks off the sheet.", "output": "She walks along the side to her office.", "explanation": "Her walking by the office is no way related to her yanking off the sheets."}, {"input": "He dashes off to work.", "output": "He swims past a warehouse and up a hill.", "explanation": "Here, he is dashing to work,... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task455 | https://huggingface.co/datasets/Lots-of-LoRAs/task455_swag_context_generation | swag context generation |
181 | task181_outcome_extraction | In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information about the outcomes... | [
"Information Extraction"
] | [
"Medicine"
] | [
"pico"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": " Effects of 12 weeks' treatment with a proton pump inhibitor on insulin secretion, glucose metabolism and markers of cardiovascular risk in patients with type 2 diabetes ", "output": "insulin secretion, glucose metabolism and markers of cardiovascular risk", "explanation": "The study is measuring effects of... | [{"input": "Secondary end points included change in upper-limb measures (including the Fugl-Meyer Assessment-Upper Extremity).", "output": "change in upper-limb measures, Fugl-Meyer Assessment-Upper Extremity", "explanation": "The upper-limb measures are correctly mentioned, but the words \"change in\" should not be in... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task181 | https://huggingface.co/datasets/Lots-of-LoRAs/task181_outcome_extraction | outcome extraction |
641 | task641_esnli_classification | Determine whether the two given sentences clearly agree with each other (entailment), disagree with each other (contradiction), or if this cannot be determined (neutral). Answer must be the letters E, C, and N, respectively. | [
"Textual Entailment"
] | [
"Miscellaneous"
] | [
"e_snli"
] | [
"Textual Entailment"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ian Lobo"
] | [{"input": "A teenager blows a whistle and wears white face paint, earmuffs, and a yellow hat while another teen watches. <sep> Nobody has face paint.", "output": "C", "explanation": "Either a teenager wears face paint or nobody has face paint."}, {"input": "Small girl in a pink dress is playing electronic drum pads wi... | [{"input": "Two men walking in summer attire. <sep> Two men are walking.", "output": "C", "explanation": "This is incorrect. Walking and are walking are the same thing. This is a entailment statement."}, {"input": "Two women are hugging on a path through a grassy area with a cow visible past them. <sep> They are at the... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task641 | https://huggingface.co/datasets/Lots-of-LoRAs/task641_esnli_classification | esnli classification |
1186 | task1186_nne_hrngo_classification | You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0. | [
"Text Quality Evaluation"
] | [
"Dialogue",
"Public Places -> Restaurants"
] | [
"human_ratings_of_natural_language_generation_outputs"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "System Reference: x is a reasonably priced fast food restaurant down by river cheap.\nOriginal Reference: x is a cheap fastfood restaurant located near the riverside.", "output": "1", "explanation": "The system reference could have been uttered by a native speaker."}, {"input": "System Reference: red door c... | [{"input": "System Reference: x is a reasonably priced fast food restaurant down by river cheap.\nOriginal Reference: x is a cheap fastfood restaurant located near the riverside.", "output": "5.5", "explanation": "The output has to be ."}, {"input": "System Reference: x is a restaurant that serves italian serving fashi... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1186 | https://huggingface.co/datasets/Lots-of-LoRAs/task1186_nne_hrngo_classification | nne hrngo classification |
144 | task144_subjqa_question_answering | You will be given a review about a book, an item, a place or a movie. After that, a question is given that you should answer using a certain span of the review. Your answer should be from the review itself and should not contain extra words, and should not be a combination of different spans. If there's no direct answe... | [
"Question Answering"
] | [
"Reviews -> Movies",
"Reviews -> TripAdvisor",
"Reviews -> Restaurants",
"Reviews -> Movies",
"Reviews -> Books",
"Reviews -> Electronics and Grocery"
] | [
"subjqa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "review: I had a smaller headset that went on the ear. After a 8 - 10 hour workday, my ears were throbbing red and painfully sore. With this headset, I can go the same shift and not feel any pain on my ear. They may feel a little on the heavy side, but if you adjust the head phone cups just right and stretch... | [{"input": "review: Food was very tasty but the bathrooms were kinda gross. I wouldn't go out of my way to eat here again. It was satisfactory but nothing special.\nquestion: How were the bathrooms?", "output": "Food was very tasty", "explanation": "Although the output is a part of the review, it is irrelevant to the q... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task144 | https://huggingface.co/datasets/Lots-of-LoRAs/task144_subjqa_question_answering | subjqa question answering |
1504 | task1504_hatexplain_answer_generation | The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet. | [
"Toxic Language Detection"
] | [
"Social Media -> Twitter"
] | [
"hatexplain"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pruthvi Patel"
] | [{"input": "you are a dumb spic that can not spell spaniard", "output": "dumb spic", "explanation": "The phrase from the tweet addresses a Spanish speaking person from the Caribbean in an offensive way."}, {"input": "it high time we hindus should think that these filthy muslims should be allowed to live here or not kam... | [{"input": "it high time we hindus should think that these filthy muslims should be allowed to live here or not kamleshtiwari ypg yourprophetisgay", "output": "\"filthy muslims\", \"hindus\"", "explanation": "The output should contain only one phrase from the tweet. The correct output would be \"filthy muslims\""}, {"i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1504 | https://huggingface.co/datasets/Lots-of-LoRAs/task1504_hatexplain_answer_generation | hatexplain answer generation |
1188 | task1188_count_max_freq_char | In this task, you are given a string with duplicate characters ocurring in the string. You need to return the character which is ocurring with the maximum frequency. In case of a tie, return the character with the least ascii value. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Reasoning on Strings",
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "mvwduljootadondrwbrledodqnmfqtxalvuxnfgft", "output": "d", "explanation": "d is ocurring with maximum frequency of 5."}, {"input": "pmivbvxizgpmhtdcqjhrljcfojxnlrcgfhxterzj", "output": "j", "explanation": "j is ocurring with maximum frequency of 4."}] | [{"input": "pmofvzvzgetkxrgilalolgprjwwvsrvtznqcqnhxlgwouhp", "output": "p", "explanation": "p is not ocurring with the maximum frequency."}, {"input": "wkunbbajfnoyqvtoixbljceydlfejducbyhmrgflndvayuy", "output": "d", "explanation": "d is not ocurring with the maximum frequency."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1188 | https://huggingface.co/datasets/Lots-of-LoRAs/task1188_count_max_freq_char | count max freq char |
625 | task625_xlwic_true_or_false_answer_generation | In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise. | [
"Word Semantics"
] | [
"Miscellaneous"
] | [
"xl_wic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ananth Duggirala"
] | [{"input": "dust \n Sentence1: Another one bites the dust. \n Sentence2: The maid used a handkerchief to remove dust off the table.", "output": "True.", "explanation": "In both of the input sentences, the word 'dust' refers to sand, and therefore the words share the same meaning."}, {"input": "project \n Sentence1: Sev... | [{"input": "ruler \n Sentence1: The headmistress struck the table with a ruler. \n Sentence2: The ruler decided to change taxation laws in his province.", "output": "True.", "explanation": "The word 'ruler' has a different meaning in both input sentences. In the first input sentence, it refers to a measuring stick, and... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task625 | https://huggingface.co/datasets/Lots-of-LoRAs/task625_xlwic_true_or_false_answer_generation | xlwic true or false answer generation |
619 | task619_ohsumed_abstract_title_generation | Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper. | [
"Title Generation"
] | [
"Reviews"
] | [
"ohsumed"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Saicharan Papani"
] | [{"input": "Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained ambulance technicians (EMT-Ds) will refibrillate before hospital arrival. The authors analyzed 271 cases of ventricular fibrillation managed by EMT-Ds working without paramedic back-up. Of 111 pati... | [{"input": "Abstract: As the use of helicopters for air transport of critically ill patients increases, the availability of monitoring devices for physiological parameters during flight becomes important. It has long been known that arterial PO2 (PaO2) decreases during unsupplemented, non- pressurized flight. In this s... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task619 | https://huggingface.co/datasets/Lots-of-LoRAs/task619_ohsumed_abstract_title_generation | ohsumed abstract title generation |
630 | task630_dbpedia_14_classification | In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different fro... | [
"Text Matching"
] | [
"Wikipedia"
] | [
"dbpedia_14"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Divya Reddy Katpally"
] | [{"input": "Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. \nTitle: Mansfield Building Society", "output": "Yes", "explanation": "The title \"Mansfield Building Society\" is present in the text ... | [{"input": "Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. \nTitle: Mansfield Building Society", "output": "No", "explanation": "The title \"Mansfield Building Society\" is present in the text a... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task630 | https://huggingface.co/datasets/Lots-of-LoRAs/task630_dbpedia_14_classification | dbpedia 14 classification |
607 | task607_sbic_intentional_offense_binary_classification | In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underh... | [
"Toxic Language Detection"
] | [
"Social Media -> Twitter"
] | [
"sbic"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arlen Fan"
] | [{"input": "Living alone rocks. Being sick and living alone sucks. Will bake someone many a baked good for some NyQuil / DayQuil rn.", "output": "No", "explanation": "This is a good example of a post that is not intended to offend. There is no sign of intention to offend and no offensive language is used. This is simpl... | [{"input": "@Midnight_Snacka bitches like u be proving my point, u speak on shit u know nothing about I got a fucking at studio movie grill just stfu", "output": "No", "explanation": "(Answer is incorrect) This is clearly an example of an offensive post, because it uses both offensive language and has an aggressive und... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task607 | https://huggingface.co/datasets/Lots-of-LoRAs/task607_sbic_intentional_offense_binary_classification | sbic intentional offense binary classification |
1712 | task1712_poki_classification | You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | [
"Text Categorization"
] | [
"Books"
] | [
"poki"
] | [
"Grammatical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Qiang Fu"
] | [{"input": "he look into your eye that same look just take your breathe away you feel at that moment that he be definitely the one for you but just when you realize that just as fast a he take your breathe away he take your heart and break it into tiny little piece and watch it burn", "output": "high", "explanation": "... | [{"input": "one day i buy a dog and his name be buddy he dig alot and get very muddy he be so sweet that he should be beat he can never sit still in a seat", "output": "elementary", "explanation": "While the poem is not very long, it is very well structured, without a lot of grammatical errors. The author is actually i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1712 | https://huggingface.co/datasets/Lots-of-LoRAs/task1712_poki_classification | poki classification |
377 | task377_remove_words_of_given_length | In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5. | [
"Program Execution"
] | [
"Captions -> Image Captions"
] | [
"synthetic"
] | [
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given sentence.", "output": "breakfast a glass of milk is on table", "explanation": "Words 'and', 'the' are of length 3. So they are correctly removed."}, {"input": "Sentence: 'truck with bed full of wood and a ... | [{"input": "Sentence: 'white horse looking over shoulder in enclosure of wood'. Remove all words of length '2' in the given sentence.", "output": "white horse looking over shoulder enclosure of wood", "explanation": "The words 'in', and 'of' are of length 2. However, the word 'of' is not removed."}, {"input": "Sentence... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task377 | https://huggingface.co/datasets/Lots-of-LoRAs/task377_remove_words_of_given_length | remove words of given length |
069 | task069_abductivenli_classification | In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense. | [
"Coherence Classification"
] | [
"Commonsense -> Stories"
] | [
"abductive_nli"
] | [
"Commonsense Reasoning",
"Abductive Reasoning",
"Textual Entailment -> Abductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Anjana Arunkumar"
] | [{"input": "Beginning: Butch had a really old computer. Middle 1: Butch decided to order a new computer online. Middle 2: Butch noticed that a storm was approaching to his town. Ending: It arrived and Butch was much happier.", "output": "1", "explanation": "People generally don't feel happy about natural disasters like... | [{"input": "Beginning: Mary's mom came home with more bananas than they could possibly eat. Middle 1: Mary and her mom decided to make chocolate covered frozen bananas to avoid waste. Middle 2: So Mary made pineapple splits for everyone. Ending: That was the best way ever to eat a banana!", "output": "2", "explanation"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task069 | https://huggingface.co/datasets/Lots-of-LoRAs/task069_abductivenli_classification | abductivenli classification |
590 | task590_amazonfood_summary_correction_classification | In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False". | [
"Text Matching"
] | [
"Reviews -> Food"
] | [
"amazon_fine_food_reviews"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most. \n Summary: Good Quality Dog Food", "output"... | [{"input": "My daughter loves twizzlers and this shipment of six pounds really hit the spot. It's exactly what you would expect...six packages of strawberry twizzlers. \n Summary: Lots of twizzlers, just what you expect.", "output": "Correct", "explanation": "It's only supposed to say if the Polarity of given review is... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task590 | https://huggingface.co/datasets/Lots-of-LoRAs/task590_amazonfood_summary_correction_classification | amazonfood summary correction classification |
1189 | task1189_check_char_in_string | In this task, you are given a string S and a character c separated by a comma. You need to check if the character c is present in S or not. Return 1 if it is present, else return 0. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Reasoning on Strings"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "IcLCZgiymDWVHOGsOMdoksiLJoj, h", "output": "0", "explanation": "h is not present in the string."}, {"input": "CWlOoIRWGvoyRWJWzAKeKMSutk, J", "output": "1", "explanation": "J is present in the string."}] | [{"input": "EwbWuKTDQxqsultKAWBlsxhIou, w", "output": "0", "explanation": "w is present in the string."}, {"input": "RIYoDaiCkHsUEHSFoYbYpkBZaHd, l", "output": "1", "explanation": "1 is not present in the string."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1189 | https://huggingface.co/datasets/Lots-of-LoRAs/task1189_check_char_in_string | check char in string |
064 | task064_all_elements_except_first_i | In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']", "output": "931, 7, 3432, 13245, 762", "explanation": "Here, all the elements except the first 3 from the list are '931', '7', '3432', '13245', and '762'."}, {"input": "6, ['5191', '9389', '9907', '8877', 'N', '6453', 's', 'k', '6209', 'W', '4591', 'B... | [{"input": "5, ['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']", "output": "7475, 2459", "explanation": "Here, the answer should have been 'O, q, Y, f' as all the elements except the first 5 from the list are 'O', 'q', 'Y', and 'f'."}, {"input": "3, ['Z', '259', '32', 'M', '24', '32']", "output": "32, M, 24, 32"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task064 | https://huggingface.co/datasets/Lots-of-LoRAs/task064_all_elements_except_first_i | all elements except first i |
380 | task380_boolq_yes_no_question | In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage. | [
"Question Answering"
] | [
"Wikipedia"
] | [
"boolq"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and Subway are examples of a franchise. The small business owner can leverage a strong brand name and purchasing power of the larger company while keeping their own ... | [{"input": "passage: The fourteenth season of the American television medical drama Grey's Anatomy was ordered on February 10, 2017, by American Broadcasting Company (ABC), and premiered on September 28, 2017 with a special two-hour premiere. The season consists of 24 episodes, with the season's seventh episode marking... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task380 | https://huggingface.co/datasets/Lots-of-LoRAs/task380_boolq_yes_no_question | boolq yes no question |
1089 | task1089_check_monotonic_array | You are given an array of integers, check if it is monotonic or not. If the array is monotonic, then return 1, else return 2. An array is monotonic if it is either monotonically increasing or monotonocally decreasing. An array is monotonically increasing/decreasing if its elements increase/decrease as we move from left... | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Quantitative Reasoning",
"Numerical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "[1,2,2,3]", "output": "1", "explanation": "The array is monotonic as 1 < 2 <= 2 < 3"}, {"input": "[6,5,4,4]", "output": "1", "explanation": "The array is monotonic as 6 > 5 > 4 >= 4"}] | [{"input": "[1,3,2]", "output": "1", "explanation": "The array is not monotonic as 1 < 3 > 2"}, {"input": "[1,2,4,5]", "output": "2", "explanation": "The array is monotonic as 1 < 2 < 4 < 5"}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1089 | https://huggingface.co/datasets/Lots-of-LoRAs/task1089_check_monotonic_array | check monotonic array |
398 | task398_semeval_2018_task1_tweet_joy_detection | In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment. | [
"Sentiment Analysis"
] | [
"Social Media -> Twitter"
] | [
"semeval_2018_task1"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "Sometimes, you have to smile, pretend everything is okay, and just walk away.", "output": "Not happy", "explanation": "The tweet author isn't happy."}, {"input": "The Golden Temple is beautiful! \ud83d\ude0d", "output": "Happy", "explanation": "The tweet author is happy because the golden temple is beautifu... | [{"input": "Time for bed in a real bed after four nights camping. #bliss", "output": "Not happy", "explanation": "The tweet author is happy because he/she is going to sleep in a real bed after 4 days of camping, so the output should be \"Happy\". "}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task398 | https://huggingface.co/datasets/Lots-of-LoRAs/task398_semeval_2018_task1_tweet_joy_detection | semeval 2018 task1 tweet joy detection |
691 | task691_mmmlu_answer_generation_college_physics | You are given a question on college physics. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Physics"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Logical Reasoning",
"Quantitative Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "The quantum efficiency of a photon detector is 0.1. If 100 photons are sent into the detector, one after the other, the detector will detect photons\n(A)an average of 10 times, with an rms deviation of about 4 (B)an average of 10 times, with an rms deviation of about 3 (C)an average of 10 times, with an rms... | [{"input": "The quantum efficiency of a photon detector is 0.1. If 100 photons are sent into the detector, one after the other, the detector will detect photons\n(A)an average of 10 times, with an rms deviation of about 4 (B)an average of 10 times, with an rms deviation of about 3 (C)an average of 10 times, with an rms... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task691 | https://huggingface.co/datasets/Lots-of-LoRAs/task691_mmmlu_answer_generation_college_physics | mmmlu answer generation college physics |
632 | task632_dbpedia_14_classification | In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | [
"Text Categorization"
] | [
"Wikipedia"
] | [
"dbpedia_14"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Divya Reddy Katpally"
] | [{"input": "Text: The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll.", "output": "No", "explanation": "HMS Argyll is a frigate which a warship. C... | [{"input": "Text: The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll.", "output": "Yes", "explanation": "HMS Argyll is a frigate which a warship. ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task632 | https://huggingface.co/datasets/Lots-of-LoRAs/task632_dbpedia_14_classification | dbpedia 14 classification |
495 | task495_semeval_headline_classification | Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny. | [
"Text Categorization"
] | [
"News"
] | [
"semeval_2020_task_7"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Savan Doshi"
] | [{"input": "News Headline: France is \u2018 hunting down its citizens who joined {Isis} without trial in Iraq \n Edit: twins ", "output": "Not Funny", "explanation": "The edited sentence is not making much sense, therefore it's not funny."}, {"input": "News Headline: \"Pentagon claims 2,000 percentage increase in Russi... | [{"input": "News Headline: Us Weekly gives Ivanka Trump {credit} for failing \n Edit: candies", "output": "True", "explanation": "Output must be \"Funny\" or \"Not Funny\""}, {"input": "News Headline: Four Republicans Withhold {Support} for Andy Puzder to Head Labor Department \n Edit: cupcakes", "output": "Funny", "ex... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task495 | https://huggingface.co/datasets/Lots-of-LoRAs/task495_semeval_headline_classification | semeval headline classification |
1723 | task1723_civil_comments_sexuallyexplicit_classification | Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No. | [
"Toxic Language Detection"
] | [
"Dialogue",
"Social Media"
] | [
"civil_comments"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Himanshu Asati"
] | [{"input": "\thahahahahahahahhha suck it.", "output": "Yes", "explanation": "The comment has the word 'suck' in it and is classified as sexually explicit. Hence, it is a positive example"}, {"input": "Man, they're being sued for NOT growing pot? Somebody call Alanis Morissette, because this is ironic.", "output": "No",... | [{"input": "This story gets more ridiculous by the hour! And, I love that people are sending these guys dildos in the mail now. But\u2026 if they really think there's a happy ending in this for any of them, I think they're even more deluded than all of the jokes about them assume.", "output": "No", "explanation": "The ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1723 | https://huggingface.co/datasets/Lots-of-LoRAs/task1723_civil_comments_sexuallyexplicit_classification | civil comments sexuallyexplicit classification |
1669 | task1669_md_gender_bias_text_modification | In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence. | [
"Sentence Perturbation"
] | [
"Wikipedia",
"Dialogue",
"Miscellaneous"
] | [
"md_gender_bias"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xinran Xie"
] | [{"input": "She designed monumental Loviisa war cemetery in 1920.", "output": "He designed monumental Lovissa war cemetery in 1920.", "explanation": "The feminine pronoun was changed to a masculine pronoun."}, {"input": "How will her parents react?", "output": "How will his parents react?", "explanation": "The feminine... | [{"input": "I am a vegetarian. I like swimming.", "output": "I am a programmer. I like dancing.", "explanation": "The gender-neutral pronoun of the sentence was not changed to a masculine pronoun, the content of the sentence changed."}, {"input": "His father taught him how to fish.", "output": "The boy's father taught ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1669 | https://huggingface.co/datasets/Lots-of-LoRAs/task1669_md_gender_bias_text_modification | md gender bias text modification |
1584 | task1584_evalution_meronym_classification | Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given par... | [
"Word Relation Classification"
] | [
"Miscellaneous"
] | [
"evalution"
] | [
"Reasoning on Objects"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Atharva Naik"
] | [{"input": "apple has bone?", "output": "0", "explanation": "Apples don't have bones, so the output of 0 is correct."}, {"input": "book has picture?", "output": "1", "explanation": "Books have pictures as a part of them, so the output of 1 is correct."}] | [{"input": "cat has ear?", "output": "0", "explanation": "Cats have ears, so the output of 1 is incorrect."}, {"input": "leg has leg?", "output": "1", "explanation": "A leg is a leg, but is not a component, part or constituent of a leg, so the output of 0 is incorrect."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1584 | https://huggingface.co/datasets/Lots-of-LoRAs/task1584_evalution_meronym_classification | evalution meronym classification |
1347 | task1347_glue_sts-b_similarity_classification | Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, b... | [
"Text Matching"
] | [
"Books",
"Dialogue"
] | [
"sts_b"
] | [
"Textual Entailment -> Analogical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arit Chanda"
] | [{"input": "Sentence 1: A plane is taking off. Sentence 2: An air plane is taking off.", "output": "5", "explanation": "Here both statements are talking about the same thing hence it will be classified as a 5."}, {"input": "Sentence 1: A man is playing a large flute. Sentence 2: A man is playing a flute.", "output": "4... | [{"input": "Sentence 1: A man is playing the cello. Sentence 2: A man seated is playing the cello.", "output": "3", "explanation": "Sentence 1 and 2 are only different by an unimportant detail of the man seating so the output should have been 4."}, {"input": "Sentence 1: The man is playing the piano. Sentence 2: The ma... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1347 | https://huggingface.co/datasets/Lots-of-LoRAs/task1347_glue_sts-b_similarity_classification | glue sts-b similarity classification |
108 | task108_contextualabusedetection_classification | Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | [
"Toxic Language Detection"
] | [
"Social Media -> Twitter"
] | [
"cad"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Was Michelangelo straight though? I mean, being a pizza-maniac ninja would indicate so, but... You never know.", "output": "yes", "explanation": "This text has indentity directed abuse because it is trying to judge sexual orientation of Michelangelo. Hence, the answer is \"yes\""}, {"input": "No Republican... | [{"input": "Yeah, I wondered how they figured out where the blind spot was too. If it had been London UK instead of Chicago they wouldn't have been able to do it... every single square inch of that city is on multiple cameras.", "output": "yes", "explanation": "This is incorrect asnwer. Because there is no negative sta... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task108 | https://huggingface.co/datasets/Lots-of-LoRAs/task108_contextualabusedetection_classification | contextualabusedetection classification |
1449 | task1449_disease_entity_extraction_bc5cdr_dataset | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | [
"Named Entity Recognition"
] | [
"Biology -> Clinical Knowledge",
"Healthcare"
] | [
"biocreative_v"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "I had been suffering from cardiovascular disorder.", "output": "cardiovascular disorder", "explanation": "Here, the person mentions this disorder which is related to heart issues."}, {"input": "Acne is the most common skin condition in the United States, affecting up to 50 million Americans annually.", "out... | [{"input": "I had been suffering from cardiovascular disorder", "output": "disorder", "explanation": "This is an incomplete disease mention, as it does not clearly mention the actual type of disorder."}, {"input": "A 44-year-old man taking naproxen for chronic low back pain and a 20-year-old woman on oxaprozin for rheu... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1449 | https://huggingface.co/datasets/Lots-of-LoRAs/task1449_disease_entity_extraction_bc5cdr_dataset | disease entity extraction bc5cdr dataset |
1541 | task1541_agnews_classification | In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | [
"Text Categorization"
] | [
"News"
] | [
"ag_news"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mamatha Juluru"
] | [{"input": "The Race is On: Second Private Team Sets Launch Date for Human Spaceflight (SPACE.com) SPACE.com - TORONTO, Canada -- A second team of rocketeers competing for the #36;10 million Ansari X Prize, a contest for privately funded suborbital space flight, has officially announced the first launch date for its m... | [{"input": "Islamic group holding lorry drivers demands firm quit Iraq (AFP) AFP - A group calling itself the Secret Islamic Army (SIA) will release seven hostages it has been holding for more than a month as soon as their Kuwaiti company says it will no longer operate in Iraq, the SIA announced.", "output": "1", "expl... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1541 | https://huggingface.co/datasets/Lots-of-LoRAs/task1541_agnews_classification | agnews classification |
704 | task704_mmmlu_answer_generation_high_school_government_and_politics | You are given a question on high school government and politics. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Government and Politics"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Which of the following best describes the balance the Supreme Court has struck between the establishment clause and the free-exercise clause?\n(A)Freedom of speech is protected except in certain situations, such as yelling \"fire\" in a crowded theater. (B)Once a church has been recognized by the federal go... | [{"input": "Which of the following best describes the balance the Supreme Court has struck between the establishment clause and the free-exercise clause?\n(A)Freedom of speech is protected except in certain situations, such as yelling \"fire\" in a crowded theater. (B)Once a church has been recognized by the federal go... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task704 | https://huggingface.co/datasets/Lots-of-LoRAs/task704_mmmlu_answer_generation_high_school_government_and_politics | mmmlu answer generation high school government and politics |
1453 | task1453_person_entity_extraction_btc_corpus | In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them. | [
"Named Entity Recognition"
] | [
"Commonsense -> Concepts and Relations -> Social Commonsense",
"Social Media -> Twitter"
] | [
"broad_twitter_corpus"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "Let us wait for Tal August for a while", "output": "Tal August", "explanation": "Here, the person Tal August is referred to be waited for."}, {"input": "I would like to make a face-to-face interaction with Sachin in August", "output": "Sachin", "explanation": "Here Sachin is a person with whom the person is... | [{"input": "I would like to meet you in August", "output": "August", "explanation": "Here August is a month and not a person. Hence, it should not be tagged."}, {"input": "Let me tell you a story on New York", "output": "New York", "explanation": "Since New York is a city in the United States, its relevance with a pers... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1453 | https://huggingface.co/datasets/Lots-of-LoRAs/task1453_person_entity_extraction_btc_corpus | person entity extraction btc corpus |
724 | task724_mmmlu_answer_generation_moral_scenarios | You are given a question on moral scenarios. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Moral Scenarios"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Ethics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "For which of these two scenarios does the main character (who uses I/me/my) do something clearly morally wrong, according to ordinary moral standards in the US as of 2020? Scenario 1 | I slammed on my breaks to miss the ball as it came in to the road. Scenario 2 | I taught my children to play the xylophone.... | [{"input": "For which of these two scenarios does the main character (who uses I/me/my) do something clearly morally wrong, according to ordinary moral standards in the US as of 2020? Scenario 1 | I slammed on my breaks to miss the ball as it came in to the road. Scenario 2 | I taught my children to play the xylophone.... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task724 | https://huggingface.co/datasets/Lots-of-LoRAs/task724_mmmlu_answer_generation_moral_scenarios | mmmlu answer generation moral scenarios |
1593 | task1593_yahoo_answers_topics_classification | You are given a passage. Using the information present in the passage, you need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - ... | [
"Text Categorization"
] | [
"Miscellaneous"
] | [
"yahoo_answers_topics"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Roseleen Kaur"
] | [{"input": "\tOptical mice use an LED and a camera to rapidly\ncapture images of the surface beneath the mouse.\nThe infomation from the camera is analyzed by a\nDSP (Digital Signal Processor) and used to detect\nimperfections in the underlying surface and\ndetermine motion. Some materials, such as glass,\nmirrors or o... | [{"input": "Air\nFleet\\n \\n670 aircraft, including:\n\\n47 Airbus A300-600s 17 Boeing DC10-30s\n\\n62 Airbus A310-200/300s 36 Boeing\nMD10-10s \\n2 ATR 72s 5 Boeing MD10-30s\n\\n29 ATR 42s 57 Boeing MD11s \\n18\nBoeing 727-100s 10 Cessna 208As \\n94\nBoeing 727-200s 246 Cessna 208Bs \\n30\nBoeing DC10-10s ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1593 | https://huggingface.co/datasets/Lots-of-LoRAs/task1593_yahoo_answers_topics_classification | yahoo answers topics classification |
081 | task081_piqa_wrong_answer_generation | You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | [
"Wrong Candidate Generation"
] | [
"Commonsense -> Concepts and Relations -> Physical Commonsense"
] | [
"piqa"
] | [
"Commonsense Reasoning",
"Commonsense Reasoning -> Spatial Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kuntal Kumar Pal"
] | [{"input": "How do you remove keys from a computer keyboard for cleaning?", "output": "Place the tip of your finger under the corner of a key and gently twist to pop it off.", "explanation": "The answer is related to the question, but certainly doesn't lead to the asked outcome( A sharp narrow object should be used ins... | [{"input": "How can you dry wet replacement computer keyboard keys?", "output": "by having an elephant sit on them", "explanation": "It is very obvious that the answer is incorrect since an elephant sitting on keyboard have no relevance with drying wet computer keyboard keys."}, {"input": "To scoop muffin dough into li... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task081 | https://huggingface.co/datasets/Lots-of-LoRAs/task081_piqa_wrong_answer_generation | piqa wrong answer generation |
202 | task202_mnli_contradiction_classification | In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence. | [
"Textual Entailment"
] | [
"History",
"Fiction",
"Dialogue",
"Law",
"Government and Politics"
] | [
"multinli"
] | [
"Textual Entailment -> Deductive Reasoning",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Anjana Arunkumar"
] | [{"input": "Statement: Next to the MGM Grand you will find M and M World, four stories of merchandise and memorabilia dedicated to the candy that doesn't melt in your hand. Choices: 1. The candy has many fans who love its attractions. 2. There's four stories of memorabilia dedicated to a candy. 3. That particular candy... | [{"input": "Statement: In 1994, fraction of households owning a personal computer is 0.25. Choices: 1. In 1994, 0.25 of households owned a PC, which was a high sum at the time. 2. In 1984, 0.8 of households owned a PC. In 1994, 0.25 of households owned a PC.", "output": "3", "explanation": "The choice and statement bot... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task202 | https://huggingface.co/datasets/Lots-of-LoRAs/task202_mnli_contradiction_classification | mnli contradiction classification |
329 | task329_gap_classification | In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s. | [
"Coreference Resolution"
] | [
"Wikipedia"
] | [
"gap"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "He grew up in Evanston, Illinois the second oldest of five children including his brothers, Fred and Gordon and sisters, Marge (Peppy) and Marilyn. His high school days were spent at New Trier High School in Winnetka, Illinois. MacKenzie studied with Bernard Leach from 1949 to 1952. _His_ simple, wheel-thro... | [{"input": "He had been reelected to Congress, but resigned in 1990 to accept a post as Ambassador to Brazil. De la Sota again ran for governor of C*rdoba in 1991. Defeated by Governor Angeloz by over 15%, this latter setback was significant because it cost De la Sota much of _his_ support within the Justicialist Party... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task329 | https://huggingface.co/datasets/Lots-of-LoRAs/task329_gap_classification | gap classification |
149 | task149_afs_argument_quality_death_penalty | We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | [
"Text Matching"
] | [
"Government and Politics"
] | [
"afs"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Siyi Liu"
] | [{"input": "The fact that you do not want to donate to these poor, needy people only shows me that you really do not care about the embryos", "output": "Invalid", "explanation": "It is not an argument on the topic of death penalty."}, {"input": "Actually we still kill the wrong person all the time", "output": "Valid", ... | [{"input": "Over here it's unlikely that the man would ever find himself in a courtroom except for the purpose of testifying against the guy with the missing ear.", "output": "Valid", "explanation": "The answer should be Invalid instead since it is not an argument towards death penalty."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task149 | https://huggingface.co/datasets/Lots-of-LoRAs/task149_afs_argument_quality_death_penalty | afs argument quality death penalty |
585 | task585_preposition_classification | In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "on", "in", "for", "from"... | [
"Preposition Prediction"
] | [
"Linguistics"
] | [
"prepositional_paraprasing"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "Word1: story \n Word2: pearl", "output": "of", "explanation": "The preposition correctly connects two words turning it into the sentence 'story of pearl'."}, {"input": "Word1: need \n Word2: speech", "output": "for", "explanation": "The preposition correctly connects two words turning it into the sentence '... | [{"input": "Word1: city \n Word2: stone", "output": "in", "explanation": "The preposition doesn't connect the sentence correctly. The correct preposition would be 'city on stone'."}, {"input": "Word1: part \n Word2: world", "output": "part of world", "explanation": "It correctly connected the sentence. But the output i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task585 | https://huggingface.co/datasets/Lots-of-LoRAs/task585_preposition_classification | preposition classification |
249 | task249_enhanced_wsc_pronoun_disambiguation | In each example you will read a short sentence (or two). Then, a pronoun in the text is mentioned. Your task is to choose a referent which the mentioned pronoun refers to. You will be given two options in each case and one choice should seem much more likely to you than the other. | [
"Coreference Resolution"
] | [
"Dialogue",
"Narrative"
] | [
"enhanced_wsc"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "sentence: I couldn't put the saucepan on the rack because it was too tall .pronoun: it. A) the saucepan B) the rack", "output": "the rack", "explanation": "If the saucepan couldn't be put on the rack, the rack was probably taller than the person's reach. The pronoun \"it\" refers to the rack."}, {"input": "... | [{"input": "sentence: Joe and David's uncles can still beat them at tennis , even though they are 30 years younger .pronoun: they. A) joe and david B) joe and david's uncles", "output": "joe and david's uncles", "explanation": "There're two clues for resolving this pronoun. First, one's uncle is not usually 30 years yo... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task249 | https://huggingface.co/datasets/Lots-of-LoRAs/task249_enhanced_wsc_pronoun_disambiguation | enhanced wsc pronoun disambiguation |
390 | task390_torque_text_span_selection | In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty. | [
"Question Answering"
] | [
"News"
] | [
"torque"
] | [
"Temporal Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Shailaja Keyur Sampat"
] | [{"input": "Passage: I submitted the hit. The hit was approved, and then I was paid. Question: What happened after I submitted the hit? Events: ['submitted', 'approved', 'paid'].", "output": "approved, paid", "explanation": "From the passage, we can infer that events approved and paid happened after the event submitted... | [{"input": "Passage: He usually eats a sandwich for breakfast before going to school, but he didn't wake up on time and he didn't have his breakfast. Question: What did he not do before going to school? Events: ['eats', 'going', 'wake', 'have']", "output": "wake", "explanation": "The output must list all events satisfy... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task390 | https://huggingface.co/datasets/Lots-of-LoRAs/task390_torque_text_span_selection | torque text span selection |
1332 | task1332_check_leap_year | In this task, you are given a year. You need to check if it is a leap year or not. A year may be a leap year if it is evenly divisible by 4. Years that are divisible by 100 (century years such as 1900 or 2000) cannot be leap years unless they are also divisible by 400. Return 1 if it is a leap year, else return 0. | [
"Misc."
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "1644", "output": "1", "explanation": "1644 is a leap year as 1644 is divisible by 4."}, {"input": "2021", "output": "0", "explanation": "2021 is not a leap year as it is not divisible by 4"}] | [{"input": "1234", "output": "0", "explanation": "1234 is a leap year as 1234 is divisible by 4."}, {"input": "1443", "output": "1", "explanation": "1443 is not a leap year as it is not divisible by 4."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1332 | https://huggingface.co/datasets/Lots-of-LoRAs/task1332_check_leap_year | check leap year |
905 | task905_hate_speech_offensive_classification | You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. | [
"Toxic Language Detection"
] | [
"Social Media -> Twitter"
] | [
"hate_speech_offensive"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Megh Patel"
] | [{"input": "Tweet: \"@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR\" This is why there's black people and niggers\nLabel: Hate Speech", "output": "true", "explanation": "The writer mentions emotions like hating so it is clearly a hate speech."}, {"input": "Tweet: \"bitch nigga miss me with it\"... | [{"input": "Tweet: \"@DomWorldPeace: Baseball season for the win. #Yankees\" This is where the love started\nLabel: Offensive", "output": "true", "explanation": "There is no offensive language used here so this is not offensive. Therefore the label should be 'Neither'."}, {"input": "Tweet: \" fuck no that bitch dont ev... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task905 | https://huggingface.co/datasets/Lots-of-LoRAs/task905_hate_speech_offensive_classification | hate speech offensive classification |
1313 | task1313_amazonreview_polarity_classification | In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False" | [
"Sentiment Analysis"
] | [
"Reviews"
] | [
"multilingual_amazon_reviews"
] | [
"Reasoning on Social Interactions",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "Review: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor quality. I have used infrared lights for my ball python for many years now and I get a varied range of months from a bulb, but I have never gone through two bul... | [{"input": "Review: I am disappointed in this purchase. I bought one of these in another color and in size XL and it fit great. This one I bought in white in XL and it fits like a Medium. I cannot wear this top and am really disappointed about that, It is advertised as XL but seriously this top would only fit someone w... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1313 | https://huggingface.co/datasets/Lots-of-LoRAs/task1313_amazonreview_polarity_classification | amazonreview polarity classification |
1386 | task1386_anli_r2_entailment | In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with "Contradiction", "Neutral", or "Entailment". | [
"Textual Entailment"
] | [
"Miscellaneous"
] | [
"anli"
] | [
"Textual Entailment",
"Quantitative Reasoning",
"Commonsense Reasoning",
"Causal Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Premise: The Washington Nationals are a professional baseball team that has been based in Washington, D.C. since . The Nationals are a member of both the Major League Baseball's (MLB) National League Eastern Division and the National League (NL) itself. Since the 2008 season, the Nationals have played in Na... | [{"input": "Premise: The genocide of indigenous peoples is the mass destruction of entire communities or races of indigenous peoples. Indigenous peoples are understood to be people whose historical and current territory has become occupied by colonial expansion, or the formation of a state by a dominant group such as a... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1386 | https://huggingface.co/datasets/Lots-of-LoRAs/task1386_anli_r2_entailment | anli r2 entailment |
751 | task751_svamp_subtraction_question_answering | You are given a math word problem and you are supposed to only use subtraction on the numbers embedded in the text to answer the following question and then only report the final numerical answer. | [
"Question Answering"
] | [
"Mathematics"
] | [
"svamp"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Tanay Dixit"
] | [{"input": "Context: Sam is 6 feet tall and Alex is 5 feet tall \n\n Question: By how many feet is Sam taller than Alex? ", "output": "1", "explanation": " Sam's height - Alex's height = 6-5 = 1"}, {"input": "Context: The college is planning a field trip. The college has 102 classrooms. There are 11 students in the col... | [{"input": "Context: A chef had 40 apples and 54 oranges. After making some pies, he has 39 apples left. \n\n Question: How many apples did he use?", "output": "15", "explanation": "Total Apples used will be remaining apples subtracted from the total apples = 40-39 = 1, hence answer is 1"}, {"input": "Context: You have... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task751 | https://huggingface.co/datasets/Lots-of-LoRAs/task751_svamp_subtraction_question_answering | svamp subtraction question answering |
1318 | task1318_country_national_dish | In this task, you are given a country name and you need to return the national dish of the given country. Some countries have multiple national dishes, in which case any one of those dishes will be considered a valid output. | [
"Misc."
] | [
"Countries"
] | [
"country_national_dish_dataset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sumanta Patro"
] | [{"input": "Afghanistan", "output": "Kabuli Palaw", "explanation": "Kabuli Palaw is the national dish name of the Afghanistan."}, {"input": "Algeria", "output": "Couscous", "explanation": "Couscous is the national dish name of the Algeria."}] | [{"input": "Argentina", "output": "Keshi yena", "explanation": "Keshi yena is not the national dish name of the Argentina. However, Asado is the national dish name of the Argentina."}, {"input": "Azerbaijan", "output": "Machboos", "explanation": "Machboos is not the national dish name of the Azerbaijan. However, Dolma ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1318 | https://huggingface.co/datasets/Lots-of-LoRAs/task1318_country_national_dish | country national dish |
698 | task698_mmmlu_answer_generation_global_facts | You are given a question on global facts. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Global Facts"
] | [
"measuring_massive_multitask_language_understanding"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "As of 2016, about what percentage of adults aged 18 years or older were overweight?\n(A)10% (B)20% (C)40% (D)80%", "output": "C", "explanation": "40% of the adults aged 18years or older are overweight"}, {"input": "What was GDP per capita in the United States in 1850 when adjusting for inflation and PPP in ... | [{"input": "As of 2016, about what percentage of adults aged 18 years or older were overweight?\n(A)10% (B)20% (C)40% (D)80%", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "What was GDP per capita in the United States... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task698 | https://huggingface.co/datasets/Lots-of-LoRAs/task698_mmmlu_answer_generation_global_facts | mmmlu answer generation global facts |
243 | task243_count_elements_in_set_intersection | In this task, you are given two sets, and you need to count the number of elements at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to both ... | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic",
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "Set1: '{11, 4, 6}', Set2: '{2, 3, 4, 10, 11, 20}'. How many elements are there in the intersection of Set1 and Set2 ?", "output": "2", "explanation": "Intersection of Set1 and Set2 is {11, 4} and it has 2 elements. So, the answer is 2."}, {"input": "Set1: '{13, 6, 15}', Set2: '{2, 7, 8, 9, 12}'. How many el... | [{"input": "Set1: '{5, 6, 8, 13, 15, 16, 18, 20}', Set2: '{15, 1}'. How many elements are there in the intersection of Set1 and Set2 ?", "output": "2", "explanation": "The intersection of Set2 and Set2 is {15}. So, the answer should have been 1 instead of 2."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task243 | https://huggingface.co/datasets/Lots-of-LoRAs/task243_count_elements_in_set_intersection | count elements in set intersection |
1400 | task1400_obqa_incorrect_answer_generation | This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context. | [
"Wrong Candidate Generation"
] | [
"Natural Science -> School Science Textbooks"
] | [
"openbookqa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eric Bell"
] | [{"input": "Fact: deep sea animals live deep in the ocean. Question: Frilled sharks and angler fish live far beneath the surface of the ocean, which is why they are known as?", "output": "Far Sea Animals", "explanation": "This is an incorrect answer that is related to the question. This is a good output."}, {"input": "... | [{"input": "Fact: water is often brackish in an estuary. Question: Brackish water is often found where?", "output": "several large rivers meet", "explanation": "The answer is one that can correctly answer the question. The task asks for three incorrect answer. This is not a good output."}, {"input": "Fact: if a liquid ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1400 | https://huggingface.co/datasets/Lots-of-LoRAs/task1400_obqa_incorrect_answer_generation | obqa incorrect answer generation |
705 | task705_mmmlu_answer_generation_high_school_macroeconomics | You are given a question on high school macroeconomics. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Economics -> Macroeconomics"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Suppose that an expansionary fiscal policy leads to a large increase in real output and a small increase in the price level. From this it can be inferred that\n(A)inflation had already impacted the economy before the fiscal stimulus. (B)the economy initially had some unemployed resources. (C)aggregate suppl... | [{"input": "Suppose that an expansionary fiscal policy leads to a large increase in real output and a small increase in the price level. From this it can be inferred that\n(A)inflation had already impacted the economy before the fiscal stimulus. (B)the economy initially had some unemployed resources. (C)aggregate suppl... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task705 | https://huggingface.co/datasets/Lots-of-LoRAs/task705_mmmlu_answer_generation_high_school_macroeconomics | mmmlu answer generation high school macroeconomics |
861 | task861_prost_mcq_answers_generation | The task is about reading the given context, group and MCQs and then generating answers from the given input. MCQs are multiple choice questions in which a question is asked and few options are given, among which one or in some cases more than one can be the answer. | [
"Question Generation"
] | [
"Commonsense -> Concepts and Relations"
] | [
"prost"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ashutosh Garg"
] | [{"input": "context: A person is trying to stack flowers, eggs, balls, and books.<sep>group: stacking <sep>question: Which is the easiest to stack?<sep>A: flowers<sep>B: eggs<sep>C: balls<sep>D: books", "output": "Books are the easiest to stack.", "explanation": "The answer relates to stacking which is mentioned in the... | [{"input": "context: A person is trying to stack flowers, eggs, balls, and books.<sep>group: stacking <sep>question: Which is the easiest to stack?<sep>A: flowers<sep>B: eggs<sep>C: balls<sep>D: books", "output": "Blocks are the easiest to stack.", "explanation": "The answer is a choice that is not part of options prov... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task861 | https://huggingface.co/datasets/Lots-of-LoRAs/task861_prost_mcq_answers_generation | prost mcq answers generation |
1209 | task1209_atomic_classification_objectuse | In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | [
"Commonsense Classification"
] | [
"Sociology",
"Commonsense -> Concepts and Relations -> Physical Commonsense",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations",
"Reasoning on Objects"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: basket<sep>Tail: carry laundry", "output": "Yes", "explanation": "This is a good example. The basket is used for carrying the laundry."}, {"input": "Head: PersonX always wore<sep>Tail: hangs item up", "output": "No", "explanation": "In this example, the Head is not something that can be used for hangi... | [{"input": "Head: PersonX accepts god 's ___<sep>Tail: to continue to follow God", "output": "Yes", "explanation": "In this example, the Head is not something that can be used to continue to follow God. So the output should be \"No\"."}, {"input": "Head: credentials<sep>Tail: prove something", "output": "No", "explanat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1209 | https://huggingface.co/datasets/Lots-of-LoRAs/task1209_atomic_classification_objectuse | atomic classification objectuse |
674 | task674_google_wellformed_query_sentence_generation | You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors. | [
"Text Quality Evaluation"
] | [
"Miscellaneous"
] | [
"google_wellformed_query"
] | [
"Grammatical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kiran Uday Pai"
] | [{"input": "How many miles is 43560 ?\nWhat is the national currency of Albania ?\nWhat is the status of the draft today in US ?\nWhere is the oil plug in a 2004 Harley ?", "output": "How many miles is 43560 ?", "explanation": "The output is from the list of given queries and it is not well structured and has grammatic... | [{"input": "How many miles is 43560 ?\nWhat is the national currency of Albania ?\nWhat is the status of the draft today in US ?\nWhere is the oil plug in a 2004 Harley ?", "output": "Convert 43560 into kilometers?", "explanation": "The output is well structured and does not match with any inputs provided"}, {"input": ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task674 | https://huggingface.co/datasets/Lots-of-LoRAs/task674_google_wellformed_query_sentence_generation | google wellformed query sentence generation |
720 | task720_mmmlu_answer_generation_marketing | You are given a question on marketing. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Marketing"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "This is a hierarchy of effects or sequential model used to explain how advertising works:\n(A)ADD. (B)AIDA. (C)PESTLE. (D)SWOT.", "output": "B", "explanation": "AIDA is the hierarchy of effects or sequential model used to explain how advertising works"}, {"input": " _____________is an important element in t... | [{"input": "This is a hierarchy of effects or sequential model used to explain how advertising works:\n(A)ADD. (B)AIDA. (C)PESTLE. (D)SWOT.", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": " _____________is an important... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task720 | https://huggingface.co/datasets/Lots-of-LoRAs/task720_mmmlu_answer_generation_marketing | mmmlu answer generation marketing |
734 | task734_mmmlu_answer_generation_sociology | You are given a question on sociology. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Sociology"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Mass-society theory suggests that:\n(A)the content of the media is determined by market forces (B)the subordinate classes are dominated by the ideology of the ruling class (C)the media manipulate 'the masses' as vulnerable, passive consumers (D)audiences make selective interpretations of media messages", "o... | [{"input": "Mass-society theory suggests that:\n(A)the content of the media is determined by market forces (B)the subordinate classes are dominated by the ideology of the ruling class (C)the media manipulate 'the masses' as vulnerable, passive consumers (D)audiences make selective interpretations of media messages", "o... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task734 | https://huggingface.co/datasets/Lots-of-LoRAs/task734_mmmlu_answer_generation_sociology | mmmlu answer generation sociology |
588 | task588_amazonfood_rating_classification | In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good. | [
"Sentiment Analysis"
] | [
"Reviews -> Food"
] | [
"amazon_fine_food_reviews"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.", "output": "5", "explanation": "The user re... | [{"input": "My daughter loves twizzlers and this shipment of six pounds really hit the spot. It's exactly what you would expect...six packages of strawberry twizzlers.", "output": "Positive", "explanation": "It's supposed to generate if the rating is out of 5."}, {"input": "I ordered this product for a themed baby show... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task588 | https://huggingface.co/datasets/Lots-of-LoRAs/task588_amazonfood_rating_classification | amazonfood rating classification |
1601 | task1601_webquestions_answer_generation | Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity. | [
"Question Answering"
] | [
"Knowledge Base -> Freebase"
] | [
"web_questions"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Paril Ghori"
] | [{"input": "concept: Selena Gomez question: what city was selena gomez born in?", "output": "New York City", "explanation": "The answer is correct based on the information available on the web about Selena Gomez."}, {"input": "concept: Cleveland Ohio, question: what time zone am i in cleveland ohio?", "output": "North ... | [{"input": "concept: Dominic Monaghan question: who does dominic monaghan play in lord of the rings?", "output": "Raj Kapur", "explanation": "The answer is not correct based on the information available on the web. The correct answer is Merry Brandybuck."}, {"input": "concept: South Africa question: which country does ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1601 | https://huggingface.co/datasets/Lots-of-LoRAs/task1601_webquestions_answer_generation | webquestions answer generation |
488 | task488_extract_all_alphabetical_elements_from_list_in_order | In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization. | [
"Program Execution"
] | [
"Code"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "['238', 'h', '92', 'U', '2799']", "output": "h, U", "explanation": "Here, the alphabetical elements in the input list in order are 'h' and 'U'."}, {"input": "['U', '6923', 'y', 'm', 'v', 'M', 'Y', '87667', 'E', '6059', 'p']", "output": "U, y, m, v, M, Y, E, p", "explanation": "Here, the alphabetical element... | [{"input": "['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']", "output": "B, m, O", "explanation": "Here, the answer should have been 'B, m, O, q, Y, f' as the alphabetical elements in the input list in order are 'B', 'm', 'O', 'q', 'Y', and 'f'."}, {"input": "['75', '54', 'J', 'L', '2332', 'Z', 'e', '366']", "ou... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task488 | https://huggingface.co/datasets/Lots-of-LoRAs/task488_extract_all_alphabetical_elements_from_list_in_order | extract all alphabetical elements from list in order |
379 | task379_agnews_topic_classification | In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | [
"Text Categorization"
] | [
"News"
] | [
"ag_news"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Giannis Karamanolakis"
] | [{"input": "Comets, Asteroids and Planets around a Nearby Star (SPACE.com) SPACE.com - A nearby star thought to harbor comets and asteroids now appears to be home to planets, too. The presumed worlds are smaller than Jupiter and could be as tiny as Pluto, new observations suggest.", "output": "Sci/Tech", "explanation":... | [{"input": "Kobe Bryant Rape Trial Looks Set to Go Ahead EAGLE, Colo. (Reuters) - The trial in the Kobe Bryant rape case looked set to go ahead later this month after the state's highest court ruled against prosecutors on Monday over a key piece of evidence in the high-profile case.", "output": "Business", "explana... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task379 | https://huggingface.co/datasets/Lots-of-LoRAs/task379_agnews_topic_classification | agnews topic classification |
077 | task077_splash_explanation_to_sql | In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A ... | [
"Text to Code"
] | [
"SQL"
] | [
"splash"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "Step 1: For each row in Movie table, find the corresponding rows in Rating table.\nStep 2: find each value of director in the results of step 1 along with the summation of stars of the corresponding rows to each value", "output": "SELECT T1.title , Sum ( T2.stars ) FROM Movie AS T1 JOIN Rating AS T2 ON T1.m... | [{"input": "Step 1: For each row in Apartments table, find the corresponding rows in Apartment_Bookings table.\nStep 2: find the average bathroom_count in the results of step 1 whose booking_status_code equals Provisional", "output": "SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task077 | https://huggingface.co/datasets/Lots-of-LoRAs/task077_splash_explanation_to_sql | splash explanation to sql |
1210 | task1210_atomic_classification_madeupof | In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | [
"Commonsense Classification"
] | [
"Sociology",
"Commonsense -> Concepts and Relations -> Physical Commonsense",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations",
"Reasoning on Objects"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: bed<sep>Tail: mattress", "output": "Yes", "explanation": "This is a good example. The Head is made of the Tail."}, {"input": "Head: PersonX asks ___ to go with PersonY<sep>Tail: follows the other person", "output": "No", "explanation": "In this example, The relation between the Head and the Tail is di... | [{"input": "Head: PersonX acts weird<sep>Tail: attention", "output": "Yes", "explanation": "In this example, The Head needs the Tail, and it is not made up of the Tail. So the output should be \"No\"."}, {"input": "Head: war<sep>Tail: aggression", "output": "No", "explanation": "The war is made up of aggression, and th... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1210 | https://huggingface.co/datasets/Lots-of-LoRAs/task1210_atomic_classification_madeupof | atomic classification madeupof |
428 | task428_senteval_inversion | In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment. | [
"Linguistic Probing"
] | [
"Narrative"
] | [
"senteval"
] | [
"Grammatical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "He poured out his to heart God, and after a few minutes the need left him, for a while anyway.", "output": "Inversion", "explanation": "\"heart\" and \"to\" have been inverted."}, {"input": "Instead they would try to run, and not necessarily in the best direction.", "output": "Original", "explanation": "No ... | [{"input": "I turned to watch the tail lights of the Chevrolet disappear in the before downpour getting into the lift.", "output": "Original", "explanation": "\"downpour\" and \"before\" are two consecutive tokens that have been inverted so the output should be \"Inversion\"."}, {"input": "I hated even hearing that nam... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task428 | https://huggingface.co/datasets/Lots-of-LoRAs/task428_senteval_inversion | senteval inversion |
726 | task726_mmmlu_answer_generation_philosophy | You are given a question on philosophy. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Philosophy"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Aesthetics deals with objects that are_____.\n(A)essential to our existence (B)unimportant to most people (C)not essential to our existence (D)rarely viewed", "output": "C", "explanation": "Aesthetics deals with objects that are not essential to our existence"}, {"input": "For Socrates, an unexamined life i... | [{"input": "Aesthetics deals with objects that are_____.\n(A)essential to our existence (B)unimportant to most people (C)not essential to our existence (D)rarely viewed", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task726 | https://huggingface.co/datasets/Lots-of-LoRAs/task726_mmmlu_answer_generation_philosophy | mmmlu answer generation philosophy |
1568 | task1568_propara_classification | In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity doesn't exist in that ... | [
"Information Extraction"
] | [
"Natural Science"
] | [
"propara"
] | [
"Deductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amrit Bhaskar"
] | [{"input": " \"process paragraph : Magma rises from deep in the earth. The magma goes into volcanos. The volcanos pressure the magma upwards. The pressure causes the magma to push through the surface of the volcano. The lava cools. The lava forms new rock. New magma is pressured to the surface of the volcano. The volca... | [{"input": " \"process paragraph : Water from oceans, lakes, swamps, rivers, and plants turns into water vapor. Water vapor condenses into millions of tiny droplets that form clouds. Clouds lose these droplets through rain or snow, also caused precipitation. Precipitation is either absorbed into the ground or runs off ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1568 | https://huggingface.co/datasets/Lots-of-LoRAs/task1568_propara_classification | propara classification |
923 | task923_event2mind_classifier | You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown". | [
"Sentiment Analysis"
] | [
"Commonsense -> Concepts and Relations"
] | [
"event2mind"
] | [
"Logical Reasoning -> Reasoning with Symbols"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yash Bhokare"
] | [{"input": "Event:PersonX treats PersonY's ___ well. Intent: 1) to leave a good impression over person y by doing everything perfectly well", "output": "Positive", "explanation": "In the input PersonX treats PersonY's in a good way. He fells calm and pleased by the work he has done. This refers to a \"Positive\" reacti... | [{"input": "Event:PersonX starts to yell at PersonY. Intent: 1) to express anger 2) to vent their frustration", "output": "Positive", "explanation": "This is an example of a bad output because PersonX starts yelling at a person to express his anger.The ouput sentiment average should be more towards the \"Negative\" rat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task923 | https://huggingface.co/datasets/Lots-of-LoRAs/task923_event2mind_classifier | event2mind classifier |
319 | task319_stereoset_classification_profession | You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | [
"Stereotype Detection"
] | [
"Stereotypes"
] | [
"stereoset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "Target: musician \nMark's child became a musician after school. I painted my walls blue but I'm considering adding some appliques to increase interest.", "output": "unrelated", "explanation": "This is unrelated because the second sentence has no relevance with the first one."}, {"input": "Target: musician \... | [{"input": "Target: musician \nMark's child became a musician after school. He completed his M.S. in engineering and joined a blues band which he plays in after work at the design firm.", "output": "stereotype", "explanation": "Though this could be a stereotype due to how one who goes to school and has an M.S. in engin... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task319 | https://huggingface.co/datasets/Lots-of-LoRAs/task319_stereoset_classification_profession | stereoset classification profession |
509 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "['238', 'h', '92', 'U', '2799']", "output": "h, U, 238, 92, 2799", "explanation": "Here, the alphabetical elements in order in the list are 'h' and 'U', and the numerical elements in order in the input list are '238', '92' and '2799'. Keeping all the alphabetical elements at the start of the list, and the n... | [{"input": "['7475', 'B', '2459', 'm', '8349', 'O', 'q']", "output": "B, m, O, q", "explanation": "Here, the answer should have been 'B, m, O, q, 7475, 2459, 8349' as the alphabetical elements in order in the list are 'B', 'm', 'O', and 'q', and the numerical elements in order in the input list are '7475', '2459', and ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task509 | https://huggingface.co/datasets/Lots-of-LoRAs/task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | collate of all alphabetical and numerical elements in list separately |
771 | task771_pawsx_korean_text_modification | Given a sentence in Korean, provide an equivalent paraphrased version from the original that retains the same meaning. | [
"Paraphrasing"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Korean"
] | [
"Korean"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "1975 \ub144\ubd80\ud130 76 \ub144\uae4c\uc9c0 NBA \uc2dc\uc98c\uc740 \uc804\uad6d \ub18d\uad6c \ud611\ud68c (National Basketball Association)\uc758 30 \ubc88\uc9f8 \uc2dc\uc98c\uc774\uc5c8\ub2e4.", "output": "National Basketball Association\uc758 1975 - 76 \uc2dc\uc98c\uc740 NBA\uc758 30 \ubc88\uc9f8 \uc2dc... | [{"input": "1560 \ub144 10 \uc6d4 \ud30c\ub9ac\uc5d0\uc11c \uadf8\ub294 \ube44\ubc00\ub9ac\uc5d0 \uc601\uad6d \ub300\uc0ac \uc778 \ub2c8\ucf5c\ub77c\uc2a4 \ud2b8\ub85d \ubaa8\ud2bc\uc744 \ub9cc\ub0ac\uace0 \uc2a4\ucf54\ud2c0\ub79c\ub4dc\ub97c \ud1b5\ud574 \uc601\uad6d\uc73c\ub85c \ub3cc\uc544\uac08 \uc5ec\uad8c\uc744 \... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task771 | https://huggingface.co/datasets/Lots-of-LoRAs/task771_pawsx_korean_text_modification | pawsx korean text modification |
1510 | task1510_evalution_relation_extraction | Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2. | [
"Information Extraction"
] | [
"Global Facts"
] | [
"evalution"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Atharva Naik"
] | [{"input": "account can be used with the same meaning of report", "output": "account Synonym report", "explanation": "The output is correct as the input describes the relationship between account and report, and the relation is that of having the same meaning, therefore they have a Synonym relationship."}, {"input": "a... | [{"input": "act can be characterized by fun", "output": "act IsA fun", "explanation": "Act is not a kind of fun, but is rather characterized by fun, therefore the correct relation should be HasProperty."}, {"input": "bird is a member of flock", "output": "bird HasA flock", "explanation": "The relationship described in ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1510 | https://huggingface.co/datasets/Lots-of-LoRAs/task1510_evalution_relation_extraction | evalution relation extraction |
330 | task330_gap_answer_generation | In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s. | [
"Coreference Resolution"
] | [
"Wikipedia"
] | [
"gap"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "He grew up in Evanston, Illinois the second oldest of five children including his brothers, Fred and Gordon and sisters, Marge (Peppy) and Marilyn. His high school days were spent at New Trier High School in Winnetka, Illinois. MacKenzie studied with Bernard Leach from 1949 to 1952. _His_ simple, wheel-thro... | [{"input": "He had been reelected to Congress, but resigned in 1990 to accept a post as Ambassador to Brazil. De la Sota again ran for governor of C*rdoba in 1991. Defeated by Governor Angeloz by over 15%, this latter setback was significant because it cost De la Sota much of _his_ support within the Justicialist Party... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task330 | https://huggingface.co/datasets/Lots-of-LoRAs/task330_gap_answer_generation | gap answer generation |
400 | task400_paws_paraphrase_classification | In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line. | [
"Text Matching"
] | [
"Wikipedia"
] | [
"paws"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "In January 2011 , the Deputy Secretary General of FIBA Asia , Hagop Khajirian , inspected the venue together with SBP - President Manuel V. Pangilinan .\nIn January 2011 , FIBA Asia deputy secretary general Hagop Khajirian along with SBP president Manuel V. Pangilinan inspected the venue .", "output": "Para... | [{"input": "This was a series of nested angular standards , so that measurements in azimuth and elevation could be done directly in polar coordinates relative to the ecliptic .\nThis was a series of nested polar scales , so that measurements in azimuth and elevation could be performed directly in angular coordinates re... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task400 | https://huggingface.co/datasets/Lots-of-LoRAs/task400_paws_paraphrase_classification | paws paraphrase classification |
180 | task180_intervention_extraction | In medical studies, the efficacy of medical treatments (called interventions) is evaluated within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that describe the intervention(s) of the study. You should list the phrase in the same order that they... | [
"Information Extraction"
] | [
"Medicine"
] | [
"pico"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "The patients received either azithromycin (600 mg/d for 3 days during week 1, then 600 mg/wk during weeks 2-12; n = 3879) or placebo (n = 3868)", "output": "azithromycin, placebo", "explanation": "The word azithromycin refers to a drug, and placebo refers to a control test. Note that no extra information is... | [{"input": "Treatment consisted of nitrendipine (10-40 mg/d), with the possible addition of enalapril maleate (5-20 mg/d), hydrochlorothiazide (12.5-25 mg/d), or both add-on drugs.", "output": "nitrendipine (10-40 mg/d, ), enalapril, maleate (5-20, mg/d), hydrochlorothiazide (12.5-25, mg/d), both add-on drugs", "explan... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task180 | https://huggingface.co/datasets/Lots-of-LoRAs/task180_intervention_extraction | intervention extraction |
104 | task104_semeval_2019_task10_closed_vocabulary_mathematical_answer_generation | You are given a mathematical question described with a circumscribed mathematical vocabulary. Questions in this task usually contain some variables (e.g. X, Y), equations (e.g. X+Y=3) and some relationships (X is greater than Y). Often you need to find the value of the variable using equations and relationships. You ar... | [
"Question Answering"
] | [
"Mathematics"
] | [
"semeval_2019_task_10"
] | [
"Numerical Reasoning",
"Logical Reasoning -> Reasoning with Symbols",
"Quantitative Reasoning",
"Mathematics -> Algebra"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "If k is an integer and \\(k = \\frac { m } { 3 } \\) which of the following must be true? I. m is an even number. II. m is a multiple of 3. III. m is an odd number.\n(A)I only (B)II only (C)III only (D)I and II only (E)I, II, and III", "output": "B", "explanation": "m isn\u2019t necessarily an even or odd n... | [{"input": "If k is an integer and \\(k = \\frac { m } { 3 } \\) which of the following must be true? I. m is an even number. II. m is a multiple of 3. III. m is an odd number.\n(A)I only (B)II only (C)III only (D)I and II only (E)I, II, and III", "output": "I dont know.", "explanation": "Do not generate anything else ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task104 | https://huggingface.co/datasets/Lots-of-LoRAs/task104_semeval_2019_task10_closed_vocabulary_mathematical_answer_generation | semeval 2019 task10 closed vocabulary mathematical answer generation |
099 | task099_reverse_elements_between_index_i_and_j | In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. | [
"Program Execution"
] | [
"Code"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "1, 3, ['z', 'h', 'Y', 'U', '2799']", "output": "Y, h, z", "explanation": "Here, all the elements between the 1st element and 3rd element in reverse order are 'Y', 'h', and 'z'."}, {"input": "8, 9, ['U', '6923', 'y', 'm', 'v', 'M', 'Y', 'A', 'E', '6059', 'p']", "output": "E, A", "explanation": "Here, all the... | [{"input": "5, 9, ['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']", "output": "7475, B", "explanation": "Here, the answer should have been 'f, Y, q, O, 8349' as all the elements between the 5th element and 9th element in reverse order are 'f', 'Y', 'q', 'O', and '8349'."}, {"input": "4, 7, ['32', 'M', '2342', '... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task099 | https://huggingface.co/datasets/Lots-of-LoRAs/task099_reverse_elements_between_index_i_and_j | reverse elements between index i and j |
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